gobots.ai

The evidence
gap.

Three health systems. One AI vendor. Thousands of patients recorded without consent. Not one organization can produce verifiable proof of what their AI actually did.

This page is a counterfactual audit artifact, generated by the GoVTraceAI runtime engine against the scenario class now driving class-action litigation. Cryptographically signed. Independently verifiable.

Anand Parankussam · Enterprise AI & Automation Leader (ex-IBM, UWM, Adient)
Governance systems deployed across fintech, mortgage, automotive, manufacturing, banking, insurance, and other regulated sectors.
GoVTrace Engine · v2.1.0
Live
01 Input ambient_scribe.session_start captured
02 Context Jurisdiction resolved · US-CA all-party
03 Govern CIPA §632.7 consent artifact MISSING
04 Govern CMIA §56.101 authorization MISSING
05 Decide Verdict rendered BLOCK
06 Sign Ed25519 · chain committed SAFE ✓
07 Output DoCR · docr_2d7f…6f03 done · 142ms
govtrace-engine · governed 7/7 steps · ✓ complete

The scenario class: ambient AI consent failures.

Nov 2025 · San Diego Superior Court
Saucedo v. Sharp HealthCare

Class action alleges ambient AI recorded a July 2025 patient visit without consent. EHR notes reportedly contained boilerplate language stating the patient had been "advised" and "consented." Per the complaint, no such consent occurred.

Apr 2026 · N.D. California
Sutter Health & MemorialCare

Proposed nationwide class covering patients over the prior two years. Alleges clinicians "intercepted, recorded, and processed" audio without informed consent. Same ambient documentation category as the Sharp matter.

2026 · Multi-State Exposure
13 all-party consent states

Florida F.S. §934.03 makes unconsented recording a third-degree felony, up to five years. A single ambient scribe workflow can be compliant in one state and criminal in another.

250+
Health systems deployed
100K+
Patients in alleged class
$5K
CIPA damages · per violation
0
Defendants with signed runtime receipts
Sources: Medscape (Jan 16 & Apr 16, 2026); Becker's Hospital Review (Dec 18, 2025); Fisher Phillips (Dec 9, 2025); ABA Health Law (Feb 10, 2026); HealthLaw Attorney Blog (Feb 23, 2026).

What no health system in these cases can produce.

01
A signed, tamper-evident record that consent was captured before recording began.

Not a chart note. Not a checkbox. A cryptographically signed event with timestamp, clinician ID, policy version, and patient ID. Produced at runtime, independently verifiable years later.

02
Proof that jurisdiction-aware policy was enforced at the moment of decision.

All-party consent in CA, FL, and 11 other states. Standard HIPAA elsewhere. The same ambient workflow deployed nationwide cannot self-attest which policy governed which visit on which date.

03
An audit chain that cannot be rewritten after the fact.

EHR notes can be edited. Vendor logs are controlled by the vendor. Neither produces admissible evidence when the consent workflow itself is the defendant.

This is not a detection problem. DLP catches data leaving. GRC platforms score posture. AI governance dashboards observe behavior. None of them produce a signed runtime receipt for a consent event. They were not designed to.

The Duty-of-Care Record
GoVTraceAI would have generated.

Generated at runtime by the GoVTraceAI engine against a reconstructed scenario matching the cited complaints. Ed25519 signed. Hash-chained. Verifiable below.

DoCR · Duty-of-Care Record
v1 · Ed25519
{
  "docr_id": "docr_2d7f8a1c4b9e6f03",
  "issued_at": "2025-07-14T10:42:03.812Z",
  "policy_version": "hipaa-cipa-v3.1.0",
  "jurisdiction": "US-CA",
  "decision": {
    "verdict": "POLICY_VIOLATION",
    "reason": "AMBIENT_AUDIO_CAPTURE_WITHOUT_CONSENT_ARTIFACT",
    "enforced": "BLOCK"
  },
  "context": {
    "event_type": "ambient_scribe.session_start",
    "encounter_id": "enc_7f12ab90",
    "clinician_id": "clin_b84cde21",
    "patient_id_hash": "sha256:c8a2…7d1f",
    "vendor": "ambient_documentation_platform",
    "data_destination": "vendor_cloud_us-west-2"
  },
  "policy_checks": [
    { "id": "CIPA-632.7",       "status": "FAIL", "note": "No signed consent artifact within 120s window." },
    { "id": "CMIA-56.101",      "status": "FAIL", "note": "Audio transmission to third party without authorization." },
    { "id": "HIPAA-164.508",    "status": "FAIL", "note": "No valid authorization for disclosure to BA." },
    { "id": "AB-3030-DISCLOSE", "status": "PASS", "note": "Disclaimer template present downstream." }
  ],
  "provenance": {
    "model_version": "scribe-ambient-4.2.1",
    "prompt_hash":   "sha256:1a3c…9e22",
    "input_hash":    "sha256:7b5d…02af",
    "prior_docr":    "docr_6e11ff02aa3d91bc"
  },
  "signature": {
    "alg":        "Ed25519",
    "kid":        "govtrace-issuer-prod-04",
    "sig":        "MEUCIQD9k8…Qm1Rf3Lq7vN2pJ==",
    "chain_root": "sha256:4f0a…bd83"
  }
}
chain: docr_6e11…91bc → docr_2d7f…6f03 ● SIGNATURE VALID
Scenario reconstructed from publicly reported complaints. Identifiers synthetic. Receipt structure, signing, and verification produced by the GoVTraceAI engine.

Paste the DoCR hash.
Get cryptographic verification in your browser.

This is the same POST /audit/verify endpoint any compliance officer, regulator, or opposing counsel can call to confirm a receipt was issued by GoVTraceAI and has not been tampered with.

Production verification calls POST /audit/verify on the GoVTraceAI runtime. This demonstration runs against a fixture receipt.

The category gap.

DLP / Data Security
Purview · BigID · Varonis

Classify and block data movement. Cannot represent a consent event or sign a runtime decision record.

GRC / Compliance
Vanta · Drata · OneTrust

Point-in-time posture attestation. No runtime decision layer, no per-event evidence.

AI Governance
Credo · Holistic · Fiddler

Observability dashboards and model risk scores. Not cryptographic. Not signed. Not admissible.

EHR Audit Logs
Epic · Oracle Health

Record what clinicians did in the system. Do not govern what third-party AI did before data entered the chart.

GoVTraceAI
The evidence layer for regulated AI.

A runtime decision engine that evaluates every AI action against policy and issues a signed, verifiable Duty-of-Care Record before data leaves your systems. Built by gobots.ai.

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